AIMC Topic: Brain

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Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Medical physics
PURPOSE: Automatic brain image labeling is highly demanded in the field of medical image analysis. Multiatlas-based approaches are widely used due to their simplicity and robustness in applications. Also, random forest technique is recognized as an e...

[Recognition of Low Arousal Level Electroencephalogram in the Vigilance Based on Wavelet Packet Rhythm and Support Vector Machine].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Poor and monotonous work could easily lead to a decrease of arousal level of the monitoring work personnel. In order to improve the performance of monitoring work, low arousal level needs to be recognized and awakened. We proposed a recognition metho...

Nonlocal atlas-guided multi-channel forest learning for human brain labeling.

Medical physics
PURPOSE: It is important for many quantitative brain studies to label meaningful anatomical regions in MR brain images. However, due to high complexity of brain structures and ambiguous boundaries between different anatomical regions, the anatomical ...

Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain.

Journal of digital imaging
Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and follow-up studies of various diseases. It provides a composite image containing critical information of source images required for better localization and def...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

Current Alzheimer research
The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differences between healthy and demented are very subtle. High dimensional classification methods based on...

Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study.

NeuroRehabilitation
BACKGROUND: Locomotor training with a robot-assisted gait orthosis (LT-RGO) and transcranial direct current stimulation (tDCS) are interventions that can significantly enhance motor performance after spinal cord injury (SCI). No studies have investig...

Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines.

Current Alzheimer research
The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urgent the availability of methods for the early and accurate diagnosis. Magnetic Resonance Imaging (MRI) could be used as in vivo, non invasive tool to i...

[Anti-aging Effect of Urtica Polysaccharides in D-galactose Induced Aging Mice].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
OBJECTIVE: To investigate the anti-aging effect of polysaccharides from Urtica lobatifolia (Urtica polysaccharides) on subacute aging mice induced by D-galactose.

[Protective effect of erythropoietin on brain tissue in rats with cardiopulmonary resuscitation after asphyxia].

Zhonghua wei zhong bing ji jiu yi xue
OBJECTIVE: To study the protective effect of erythropoietin (EPO) on brain tissue with cardiac arrest-cardiopulmonary resuscitation (CA-CPR) and its mechanism.